
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "93"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 95 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 91 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	45.409425	9.795924	64.523607	81.742406	20.407129	27.637222	35.066271	32.620256	0.0581	0.0645	0.0026	1.582276	1.755474
2459593	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	35.839864	16.834782	80.657028	86.988081	31.188807	37.994757	25.267848	11.516124	0.0430	0.0501	0.0025	1.410748	1.477139
2459592	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	3.236998	1.580481	6.843858	8.162866	2.543422	1.663501	4.527608	0.736123	0.0285	0.0361	0.0025	nan	nan
2459591	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	43.459669	19.779762	94.773232	100.940189	26.972655	32.395425	16.618202	3.244101	0.0435	0.0525	0.0036	1.651567	1.873607
2459590	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	53.037069	23.135977	87.840380	93.999486	28.815538	34.881198	22.691241	5.471602	0.0450	0.0540	0.0023	1.478745	1.640959
2459589	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	36.268248	21.186386	82.183685	87.125919	17.028937	21.990176	23.839876	17.339691	0.0509	0.0578	0.0022	1.452531	1.538053
2459588	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	64.812234	14.999119	94.475115	106.134694	22.827480	26.616568	24.484475	13.029871	0.0661	0.0706	0.0025	1.579980	1.790908
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	44.969803	21.479360	132.895125	142.016157	8.678727	10.146658	25.728294	18.806550	nan	nan	nan	2.071465	2.415222
2459586	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	45.043636	18.411076	31.148535	32.743001	9.821681	11.403032	26.581781	7.315080	0.0418	0.0506	0.0026	1.487893	1.634741
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	29.572763	26.143153	10.087794	11.265388	9.188794	10.255919	10.454007	4.583025	0.0307	0.0476	0.0024	0.000000	0.000000
2459584	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.968632	24.153649	112.077139	117.167625	15.121294	17.597912	5.971469	6.896421	0.0386	0.0437	0.0021	2.167967	2.719895
2459583	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.556675	18.106842	34.559763	36.096356	19.672787	23.478460	0.358822	0.706458	0.0419	0.0480	0.0033	1.590076	1.828608
2459582	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.611689	15.665365	31.066922	32.766448	23.747232	28.442790	0.446143	0.810873	0.0438	0.0519	0.0040	1.553527	1.958139
2459581	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.206927	21.697568	35.986203	36.969813	18.674662	22.930160	0.689530	0.961084	0.0409	0.0484	0.0034	1.666768	1.888334
2459580	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.395338	16.331136	36.145747	37.862438	20.696057	24.082490	0.213312	0.708414	0.0450	0.0526	0.0033	1.664125	1.956837
2459579	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.234453	16.433608	40.914913	43.017650	23.048445	27.244521	1.704063	2.339800	0.0408	0.0476	0.0030	1.486228	1.717447
2459578	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	nan	nan
2459577	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.827482	21.144120	33.406939	34.563965	20.740576	24.797651	0.527565	0.901045	0.0380	0.0440	0.0036	1.473590	1.601916
2459576	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.390383	16.333212	26.548349	27.708221	19.009550	22.032863	1.314855	1.639473	0.0415	0.0495	0.0038	1.446152	1.700837
2459575	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.745353	16.475887	26.331635	27.523650	15.467736	17.099617	7.212317	6.318830	0.0474	0.0547	0.0033	1.642195	2.002729
2459574	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.834509	15.419784	25.255890	26.345034	20.434249	24.173461	1.406286	1.049073	0.0455	0.0544	0.0038	1.486847	1.912370
2459573	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.286147	15.902318	43.503443	45.320736	24.517095	28.279339	1.267646	2.146368	0.0420	0.0486	0.0034	1.562928	1.954250
2459572	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459571	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	1.685864	1.487101	2.859114	3.086522	0.274459	3.027915	2.363087	3.501390	0.0276	0.0382	0.0023	nan	nan
2459570	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.932692	19.313025	37.444149	38.443374	1.314096	1.821699	3.672457	4.621861	0.0437	0.0563	0.0069	0.000000	0.000000
2459569	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.825128	18.908911	33.351248	34.380757	10.413146	10.624462	8.300953	9.082126	0.0608	0.0691	0.0036	1.570629	1.880758
2459566	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.890629	15.246109	33.151402	34.368843	18.906581	21.850893	-0.049074	0.204509	0.0365	0.0426	0.0029	1.645094	1.909161
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	-1.423322	-1.423322	-1.357009	-1.357009	-0.584162	-0.584162	-0.612392	-0.612392	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	13.968728	14.370140	35.109823	36.494151	2.486619	2.510669	0.833924	1.382443	0.0459	0.0516	0.0021	1.441928	1.672031
2459563	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.859816	16.995551	67.080360	69.623441	18.573547	21.567933	2.164047	2.704278	0.0518	0.0614	0.0031	1.381655	1.362864
2459562	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459561	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	10.330465	10.392286	16.463104	17.116184	2.735049	2.960600	1.242802	1.695045	0.0444	0.0521	0.0032	1.509213	1.770228
2459560	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	9.443126	9.443602	16.898976	17.360110	2.444727	3.006658	0.872503	1.105398	0.0429	0.0514	0.0039	1.446825	1.591434
2459559	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.831463	12.206450	18.439431	19.031260	2.791458	3.345764	1.140379	1.453367	0.0438	0.0522	0.0037	1.414181	1.553811
2459558	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.544819	16.203362	34.649829	36.437271	21.383725	23.336892	1.589745	2.081411	0.0412	0.0485	0.0029	1.584970	1.913509
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0269	0.0417	0.0030	nan	nan
2459556	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.852002	16.652426	37.411849	39.442579	19.304567	21.052533	3.386671	4.820016	0.0416	0.0477	0.0031	1.346198	1.454426
2459554	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0353	0.0428	0.0049	nan	nan
2459553	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0398	0.0483	0.0052	nan	nan
2459552	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.444817	19.964182	50.428047	52.016040	28.830372	31.963710	3.437461	3.583753	0.0378	0.0442	0.0042	1.298743	1.297587
2459551	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459550	RF_maintenance	-	98.35%	98.35%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0591	0.0611	0.0008	nan	nan
2459549	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.490093	14.741909	37.927623	39.285939	20.846076	22.975104	1.414695	1.900309	0.0373	0.0454	0.0035	1.452611	1.785215
2459542	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.952074	21.867062	76.993067	79.572149	1.073132	1.893915	1.529152	2.080627	0.0400	0.0463	0.0021	1.505394	1.734111
2459541	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	10.677883	9.505481	38.106464	37.211468	220.321107	260.532738	5.268435	16.565145	0.0418	0.0510	0.0053	1.413857	1.600830
2459540	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	13.693931	14.894180	17.190132	18.117036	4.136718	5.255822	0.787525	1.124643	0.0360	0.0430	0.0039	1.392366	1.478137
2459536	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	25.015296	24.747120	65.458338	67.500416	29.254755	31.567050	2.861921	3.388973	0.0297	0.0367	0.0047	0.000000	0.000000
2459535	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	10.447980	11.507064	15.288633	15.927475	2.409561	5.691263	0.234807	0.617351	0.0304	0.0329	0.0013	0.834248	0.841437
2459534	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.182077	13.030869	14.854868	15.394197	2.360826	3.959656	0.204602	0.262455	0.0302	0.0367	0.0046	0.888545	0.888799
2459533	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.472839	18.245026	35.394920	36.907941	17.872646	20.776755	1.538738	2.272388	0.0304	0.0355	0.0033	1.348767	1.592389
2459532	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.314961	21.206721	47.650971	49.981541	22.268216	25.675017	0.948293	1.439662	0.0308	0.0361	0.0033	1.454957	1.877132
2459530	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	9.710127	10.518224	15.061060	15.613575	3.473977	4.320234	0.749315	0.872778	0.0322	0.0387	0.0048	1.348063	1.881998
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	24.654507	25.930893	53.561326	55.677598	40.493687	35.081731	0.253478	0.788618	0.0336	0.0490	0.0097	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	22.441999	20.918105	52.004253	53.205439	17.776213	29.807555	2.581718	3.135480	nan	nan	nan	0.000000	0.000000
2459522	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.513777	22.085148	51.227110	53.994204	10.906657	23.596152	1.588114	2.420168	0.0362	0.0466	0.0069	0.000000	0.000000
2459513	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	2.069652	1.913825	2.902787	3.305270	0.097800	0.261416	1.502142	2.074033	0.0307	0.0612	0.0040	nan	nan
2459508	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	25.888472	29.043081	50.075587	52.459172	18.109135	15.606869	12.888688	14.872011	0.0329	0.0439	0.0070	0.000000	0.000000
2459505	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.827720	28.536769	46.792757	50.646878	6.963468	9.892863	0.952213	2.372900	0.0350	0.0466	0.0046	1.252279	1.274579
2459503	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	26.398505	27.229709	82.648706	85.620868	33.842753	33.440713	2.575706	3.630403	0.0313	0.0426	0.0050	0.000000	0.000000
2459501	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.604012	21.022501	54.513385	57.836274	21.254238	26.471686	1.540784	1.318197	0.0966	0.0539	0.0444	0.000000	0.000000
2459500	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.779107	25.814351	65.685426	70.530676	21.414561	27.099079	0.850728	1.360301	0.1167	0.0507	0.0548	0.000000	0.000000
2459499	RF_maintenance	100.00%	24.73%	100.00%	0.00%	100.00%	0.00%	18.576477	27.932348	83.884206	90.856945	20.496904	27.460384	4.201516	12.176322	0.4292	0.0512	0.1760	0.000000	0.000000
2459498	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.956598	23.028414	75.029724	81.113549	17.334096	24.320085	3.724546	5.227330	0.1129	0.0528	0.0576	0.000000	0.000000
2459497	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.590014	26.357426	84.173145	91.471658	21.200837	31.482747	2.603273	4.155408	0.1195	0.0556	0.0590	0.000000	0.000000
2459496	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.920555	27.429705	76.810804	83.062487	18.992039	28.449907	1.891900	2.585949	0.1278	0.0525	0.0549	0.000000	0.000000
2459495	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.250780	23.022027	71.539650	77.302826	15.925319	24.963449	2.258350	3.335711	0.1107	0.0548	0.0428	0.000000	0.000000
2459494	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.335123	24.383140	76.422604	82.435217	18.783319	27.905112	4.958619	7.353079	0.1037	0.0565	0.0405	0.000000	0.000000
2459492	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.338053	24.740067	55.414695	58.791385	21.495532	29.344175	6.263802	8.719314	0.1464	0.0549	0.0581	0.757712	0.602275
2459491	RF_maintenance	100.00%	56.45%	100.00%	0.00%	100.00%	0.00%	23.600731	23.773103	60.432040	64.330679	28.869776	43.878441	3.452515	13.479673	0.3534	0.0742	0.1916	1.086158	0.936783
2459490	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	25.399701	28.065190	62.985569	66.716689	20.704395	27.117454	5.105500	8.090755	0.1537	0.0609	0.0704	2.254944	1.601615
2459489	RF_maintenance	100.00%	75.27%	100.00%	0.00%	100.00%	0.00%	22.267242	23.667108	57.067317	60.674166	20.220891	28.635115	4.270043	9.223309	0.2333	0.0686	0.1297	2.135271	1.905133
2459488	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	21.665364	23.089422	47.766927	50.447881	22.940104	31.313658	7.208113	12.714399	0.1550	0.0563	0.0723	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 93 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 93, Node 10:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 93: 2459619

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Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶